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• Systems Theory
• Mathematical Modeling
• Fuzzy Logic
• +7 more

Konstantin Yuryevich Degtyarev is an Associate Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE) in Moscow. He has been working at HSE since 2008 and has accumulated 29 years of scientific and teaching experience. His office is located at AUK "Pokrovsky Boulevard", Pokrovsky blvd, 11, office S919, where he holds consultations on Mondays, Thursdays, and Fridays during Module 1. 1995: Candidate of Technical Sciences from Moscow State University of Instrument Engineering and Computer Science, specialty 05.13.01 "System Analysis, Management and Information Processing" Postgraduate study at Moscow State University of Instrument Engineering and Computer Science (1986) Specialty: Moscow Institute of Electronic Engineering, Faculty of Applied Mathematics, specialty "Applied Mathematics", qualification "Engineer-mathematician" Professor Degtyarev's research focuses on systems theory and mathematical modeling, with particular emphasis on fuzzy logic and soft computing applications in systems analysis. His work explores cognitive approaches to structural analysis, verbal calculations, perceptions in systems analysis, F-geometry in modeling and decision making, interval calculations, Z-numbers (according to L.A. Zadeh), and fuzzy time series in forecasting. He also has significant expertise in programming in C/C++ and approaches to teaching programming courses. His research bridges theoretical foundations with practical applications in software engineering and decision support systems. Analysis of Professor Degtyarev's publication history reveals a consistent focus on fuzzy logic applications across multiple domains. His work demonstrates an evolutionary path from foundational theoretical work on polyhedral dynamics and Q-analysis to more applied research involving Z-numbers, fuzzy time series, and fuzzy logic applications in software engineering, e-commerce reputation systems, and metro positioning services. A notable trend is the increasing application of fuzzy methodologies to practical software engineering problems, particularly in the areas of linguistic summarization, decision support, and uncertainty modeling. Gratitude from HSE University (May 2024) Gratitude from the Department of Software Engineering, HSE (November 2023) Certificate of honor from the Faculty of Computer Science of HSE (September 2019) Gratitude from the First Vice-Rector of HSE (January 2018) Best Teacher award (2024, 2011-2020) Winner of the competition for the best article in the journal 'Proceedings of the ISP RAS' for 2019 Professor Degtyarev has supervised numerous bachelor's and master's theses, primarily focusing on fuzzy logic applications, Z-numbers, linguistic summarization, and decision support systems. His students have developed various software implementations related to fuzzy modeling, time series forecasting, and expert assessment aggregation. He has also contributed significantly to educational development, creating teaching materials for courses in programming, fuzzy systems, and applied system analysis. His involvement in curriculum development includes certified assessment materials for the discipline "Fundamentals of Informatics and Programming". As a member of IEEE (since 1999) and ACM (2005-2014), Professor Degtyarev participates in various professional activities including serving as a reviewer for prestigious journals such as "Fuzzy Sets and Systems" and "IEEE Transactions on Fuzzy Systems". He has also been involved in international conferences as a program committee member and section chair for several International Conferences on Soft Computing.

• programming technologies
• architecture-independent parallel programming
• evolutionary software development
• +3 more

Alexander Ivanovich Legalov is a Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE). He has been working at HSE since 2020, bringing 47 years of scientific and teaching experience to his role. Prior to joining HSE, he served as a Professor at the Siberian Federal University from 2006 to 2020. Professor Legalov earned his Candidate of Technical Sciences degree in 1983 and was awarded the academic title of Associate Professor in 1987. He achieved the Doctor of Technical Sciences degree in 2005 and was granted the academic title of Professor in 2007. His educational background includes a specialization in "Design and production of radio equipment" with the qualification of "Engineer-designer-technologist of radio equipment" from the Krasnoyarsk Polytechnic Institute in 1978. Professor Legalov's research focuses on programming technologies, particularly architecture-independent parallel programming and evolutionary software development. His work explores innovative approaches to parallel programming, including procedural-parametric programming paradigms and functional-dataflow models. He has made significant contributions to language design and transformation, particularly in extending C language capabilities and developing tools for parallel program development. His research demonstrates a consistent trajectory toward creating more flexible and efficient programming paradigms that can adapt to different architectural constraints. HSE University Honorary Diploma (May 2025) Gratitude from the Faculty of Computer Science, National Research University Higher School of Economics (August 2022) Badge of honor "For the development of students' research work" (October 2006) Professor Legalov actively supervises student research, currently guiding Kosov P.V. in dissertation research for the degree of candidate of sciences on "Language and instrumental means of evolutionary development of programs based on the procedural-parametric programming paradigm." He teaches courses on Computer Architecture and Operating Systems for second-year students in the Software Engineering bachelor's program at HSE. Professor Legalov participates in editorial boards of several scientific journals, including "Systems Management, Communications and Security" since 2017, and "Reports of the Russian Academy of Higher School Sciences" since 2010. His technical contributions include multiple registered software programs for functional-dataflow parallel programming languages.

Vladimir UlyantsevView profile

Associate Professor

• Bioinformatics
• Metagenomics
• Comparative Metagenomics
• +6 more

Vladimir Ulyantsev is an Associate Professor at the Faculty of Information Technologies and Programming, ITMO University, where he leads the International Laboratory 'Computer Technologies' and the Discrete Optimization and Formal Methods Lab. He earned his PhD in 2015 (title: 'Finite-State Machine Synthesis Using SAT and CSP Solvers') after completing his Bachelor’s (2011) and Master’s (2013) degrees in the Department of Computer Technologies at ITMO University. His research spans bioinformatics, combinatorial optimization, and computational methods for finite-state machine synthesis. Key contributions include developing software tools like MetaFast and MetaCherchant for metagenomic analysis, and advancing genetic algorithms for demographic history inference (GADMA/GADMA2). He has secured multiple grants from Russian scientific foundations and leads interdisciplinary collaborations, including a partnership with Aalto University, Finland, from 2016-2019. His 15 most recent publications (2012-2025) focus on metagenomics, SAT solvers, evolutionary algorithms, and bioinformatics applications in oncology and disease diagnostics. He has supervised 25+ student theses, including Ekaterina Noskova’s PhD on demographic history inference. He contributes to academic governance as a member of ITMO University’s scientific, technical, and academic councils.

• computational genomics
• CRISPR-Cas
• bioinformatics
• +3 more

Sergey Anatolyevich Shmakov serves as a Senior Research Fellow at the National Research University Higher School of Economics (HSE University), affiliated with the Faculty of Computer Science, Institute of Artificial Intelligence and Digital Sciences, and International Laboratory of Statistical and Computational Genomics. He joined HSE in 2025 and maintains an office at Pokrovsky Boulevard, Building 11, Office G423. His educational background includes: 2017: Candidate of Biological Sciences from A.A. Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences 2017: Postgraduate studies at Skolkovo Institute of Science and Technology in Biological Sciences 2008: Master's degree in Computer Science and Engineering from Bauman Moscow State Technical University 2006: Bachelor's degree in Computer Science and Engineering from Bauman Moscow State Technical University Dr. Shmakov's research focuses on computational genomics, CRISPR-Cas systems, and bioinformatics applications of machine learning. His work represents a significant interdisciplinary bridge between computer science and biological research, leveraging computational approaches for genomic analysis. Professional experience highlights: 2017-2025: Postdoctoral research at NCBI/NLM/NIH under Dr. Evgeny Kunin 2017-2018: Research fellow at Skolkovo Institute under Dr. Konstantin Severinov 2015-2017: Postgraduate research at NCBI/NLM/NIH under Drs. Evgeny Kunin and Konstantin Severinov 2008-2014: Software Development Engineer at Microsoft (Russia) He currently serves as Guest Editor for Frontiers in Biology since 2025 and maintains professional profiles through ORCID (0000-0002-4243-0709), Researcher ID (H-3315-2017), and Scopus Author ID (56178379900). His academic supervisor is Shchur V. L.